Sarah Bastkowski

427 citations
14 papers · 256 · h-index 8

Impact in

Papers in

    • Genomics and Phylogenetic Studies 5
    • Advanced biosensing and bioanalysis techniques 3
    • Genetic diversity and population structure 3
    • Bacterial Genetics and Biotechnology 2

Sarah Bastkowski

14 papers receiving 255 citations

Peers

Sarah Bastkowski
Comparison fields: 5 of 62
  • Molecular Medicine 36
  • Endocrinology 20
  • Genetics 77
  • Ecology 61
  • Molecular Biology 126
Replace Qingtian Guan with:
Qingtian Guan China
Briallen Lobb Canada
Anna S. Gladkikh Russia
Siva Samavedam United Kingdom
Elizabeth Young United Kingdom
Otmane Lamrabet Switzerland
Ilse Parijs Belgium
Kerrin Mendler United States
José T. Saavedra United States
Cyrielle Gasc France
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Citations per field
00.5×2.9×
Qingtian Guan · 1×
Citations per year

Countries citing papers authored by Sarah Bastkowski

Since Specialization
Citations

This map shows the geographic impact of Sarah Bastkowski's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sarah Bastkowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarah Bastkowski more than expected).

Fields of papers citing papers by Sarah Bastkowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sarah Bastkowski. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sarah Bastkowski. The network helps show where Sarah Bastkowski may publish in the future.

Co-authors

The 25 scholars most cited alongside Sarah Bastkowski, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sarah Bastkowski Line = papers co-authored together Sarah Bastkowski links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 201755
2 201353
3 202039
4 201730
5 202020
6 202016
7 202111
8 20179
9 20227
10 20217
11 20224
12 20153
13 20221
14 20131

About Sarah Bastkowski

Sarah Bastkowski is a scholar working on Molecular Biology, Genetics, Ecology, Paleontology and Molecular Medicine, having authored 14 papers that have together received 256 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (5 papers), Genetic diversity and population structure (3 papers), Evolution and Paleontology Studies (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Bacteriophages and microbial interactions (3 papers), Antibiotic Resistance in Bacteria (3 papers), Bacterial Genetics and Biotechnology (2 papers) and Pneumocystis jirovecii pneumonia detection and treatment (1 paper). The work is most often cited by research in Molecular Medicine (36 citations), Endocrinology (20 citations), Genetics (77 citations), Ecology (61 citations) and Molecular Biology (126 citations). Sarah Bastkowski has collaborated with scholars based in United Kingdom, Germany and China. Frequent co-authors include Vincent Moulton, Andreas Spillner, Stefan Grünewald, Ian G. Charles, Mark Webber, Muhammad Yasir, A. Keith Turner, Andrew J. Page, David Swarbreck and Andrea Telatin. Their work appears in journals such as Bioinformatics, Antibiotics, Current Biology, Genome biology and PLoS Computational Biology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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